A5115580426- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
- Cancer Genomics and Diagnostics
- Recommender Systems and Techniques
- Acute Lymphoblastic Leukemia research
- Advanced Graph Neural Networks
- Bioinformatics and Genomic Networks
- CAR-T cell therapy research
- Immunotherapy and Immune Responses
- Acupuncture Treatment Research Studies
- Data Quality and Management
- Epigenetics and DNA Methylation
- Gene Regulatory Network Analysis
- Ferroptosis and cancer prognosis
- Topic Modeling
- Immune cells in cancer
- Image Retrieval and Classification Techniques
- Web Data Mining and Analysis
- Botulinum Toxin and Related Neurological Disorders
- Cancer Research and Treatments
- Peripheral Nerve Disorders
Shanghai Jiao Tong University
2024-2025
Chinese Academy of Sciences
2024
University of Chinese Academy of Sciences
2024
Institute of Information Engineering
2024
Tsinghua University
2018-2022
Hepatocellular carcinoma (HCC) is highly heterogeneous in nature and has been one of the most common cancer types worldwide. To ensure repeatability identified gene expression patterns comprehensively annotate transcriptomes HCC, we carefully curated 15 public HCC datasets that cover around 4000 clinical samples developed database HCCDB to serve as a one-stop online resource for exploring with user-friendly interfaces. The global differential landscape was established by analyzing...
Spatial transcriptome technique was applied to decipher the spatial architecture and TME characteristics of liver cancers.
Molecular heterogeneities and complex microenvironments bring great challenges for cancer diagnosis treatment. Recent advances in single-cell RNA-sequencing (scRNA-seq) technology make it possible to study cell at transcriptomic level. Here, we develop an R package named scCancer, which focuses on processing analyzing scRNA-seq data research. Except basic steps, this takes several special considerations cancer-specific features. Firstly, the introduced comprehensive quality control metrics....
Personalized news recommendation aims to recommend candidate the target user. Since data and knowledge involved in traditional recommender systems are restricted, recent studies utilize large language models (LLMs) generate articles augment original dataset. However, despite superiority of LLM-based augmentation recommendation, previous still suffer from two serious problems, i.e., structure-level deficiency semantic-level noise. is mainly implemented at semantic level, collaborative...
CD4+ T cells have been well-regarded as “helper” in activating the cytotoxicity of CD8+ for effective tumor eradication, while few studies focused on whether regulate cells. Our previous provided evidence an interaction between and after cryo-thermal therapy, but mechanism remains unclear, especially pertaining to how promote Th1 differentiation This study revealed that activated are critical CTT-induced antitumor immunity, is enhanced. The reciprocal regulation was through LFA-1/ICAM-1...
Abstract Summary Molecular heterogeneities bring great challenges for cancer diagnosis and treatment. Recent advance in single cell RNA-sequencing (scRNA-seq) technology make it possible to study transcriptomic at level. Here, we develop an R package named scCancer which focuses on processing analyzing scRNA-seq data research. Except basic steps, this takes several special considerations cancer-specific features. Firstly, the introduced comprehensive quality control metrics. Secondly, used a...
Graph contrastive learning aims to learn a representative model by maximizing the agreement between different views of same graph. Existing studies usually allow multifarious noise in data augmentation, and suffer from trivial inconsistent generation graph views. Moreover, they mostly impose constraints on pairwise representations, limiting structural correlations among multiple nodes. Both problems may hinder learning, leading suboptimal node representations. To this end, we propose novel...
Adoptive cell therapies (ACT) exhibit excellent efficacy in hematological malignancy. However, its application solid tumors still has many challenges partly due to the tumor immune microenvironment. Cryo-thermal therapy (CTT) can induce an acute inflammatory response and remold environment, providing appropriate environment for activation of adaptive immunity. it remains unclear whether CTT enhance ACT. A bilateral B16F10 tumor-bearing mouse model was used assess could The right large...
ABSTRACT Heterogeneity is the major challenge for cancer prevention and therapy. Here, we firstly constructed high-resolution spatial transcriptomes of primary liver cancers (PLCs) containing 84,823 spots within 21 tissues from 7 patients. The sequential comparison tumor microenvironment (TME) characteristics non-tumor to leading-edge regions revealed that capsule potentially affects intratumor cluster continuity, transcriptome diversity immune cell infiltration. Locally, found bidirectional...